Can AI read skin biopsies as well as expert pathologists?
NCT ID NCT07787481
First seen Aug 26, 2026 · Last updated Aug 27, 2026 · Updated 1 time
Summary
This study asks whether an artificial intelligence algorithm can accurately diagnose seborrheic keratosis—a common, non-cancerous skin growth—from tissue samples. Researchers will compare the AI's performance against certified dermatopathologists using 30 preserved slides. The goal is to see if AI can match human expertise in identifying this condition, which could eventually support faster and more consistent diagnoses.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could support the use of AI as a reliable aid for pathologists, potentially speeding up and standardizing skin lesion diagnosis.
- What could go wrong
- The study is small and early, and AI performance on a limited set of slides may not reflect real-world accuracy across diverse cases or labs.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 30 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Oct 2026
An estimate. Start dates often move.
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Seborrheic keratosis H\&E stained glass slides from the pathology archive of Al-hussein dermatopathology unit.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Histopathological slides diagnosed as Seborrheic keratosis. 2. Slides with adequate staining and preservation allowing clear visualization of histopathological features. Exclusion Criteria: 1. Slides with poor staining quality or significant artifacts interfering with histopathological interpretation. 2. Slides that were damaged, faded, or inadequately preserved. 3. Cases with uncertain or inconclusive original diagnoses. 4. Slides that could not be successfully digitized due to technical limitations ex: very short or too long slides.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Faculty of medicine, Al-Azhar University boys branch in Cairo
Cairo, Egypt
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